Jin Szatkiewicz

19.8k citations
30 papers · 321 indexed · h-index 11
Topics
Genomic variations and chromosomal abnormalities (15 papers)Genomics and Rare Diseases (10 papers)Genetic Associations and Epidemiology (8 papers)

In The Last Decade

Jin Szatkiewicz

27 papers receiving 318 citations

Peers

Jin Szatkiewicz
Comparison fields: 5 of 61
  • Genetics 220
  • Molecular Biology 125
  • Cognitive Neuroscience 40
  • Plant Science 29
  • Cancer Research 26
Replace Markus M. Nöethen with:
Markus M. Nöethen Germany
Sophie Hackinger United Kingdom
Dean Phelan Australia
Alisha Wilkens United States
Rita Teek Estonia
Elizabeth S. Barrie United States
Chelsea Lowther Canada
Sorina Mihaela Papuc Romania
Huanzheng Li China
Charlly Kao United States
Jin Szatkiewicz relative to Markus M. Nöethen Germany Markus M. Nöethen's profile →
Citations per field
00.5×9.7×
Markus M. Nöethen · 1×
Citations per year

Countries citing papers authored by Jin Szatkiewicz

Since Specialization
Citations

This map shows the geographic impact of Jin Szatkiewicz's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jin Szatkiewicz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Szatkiewicz more than expected).

Fields of papers citing papers by Jin Szatkiewicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin Szatkiewicz. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jin Szatkiewicz. The network helps show where Jin Szatkiewicz may publish in the future.

Co-authorship network of co-authors of Jin Szatkiewicz

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Szatkiewicz. A scholar is included among the top collaborators of Jin Szatkiewicz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jin Szatkiewicz. Jin Szatkiewicz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 12
2 14
3 42
4 10
5 1
6 11
7 9
8 6
9 1
10 10
11 10
12 21
13 28
14 1
15 29
16 6
17
Comparability of ocular surface staining by Lissamine Green–impregnated strip and 1% Lissamine Green solution in dry eye patients
1
18
Comparability and reproducibility of evaluation of ocular surface staining in dry eye patients.
1
19 25
20 13

About Jin Szatkiewicz

Jin Szatkiewicz is a scholar working on Genetics, Otorhinolaryngology and Dermatology, having authored 30 papers that have together received 321 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (15 papers), Genomics and Rare Diseases (10 papers) and Genetic Associations and Epidemiology (8 papers). The work is most often cited by research in Genetics (220 citations), Otorhinolaryngology (21 citations) and Biological Psychiatry (8 citations). Jin Szatkiewicz has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include Patrick F. Sullivan, Eleanor Feingold, Karen T. Cuenco, James J. Crowley, Wei Wang, Wei Sun, Patrik K. E. Magnusson, Weibo Wang, Robert E. Ferrell and Daniel E. Weeks. Their work appears in journals such as Nucleic Acids Research, Nature Communications and American Journal of Psychiatry.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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